Senior Data Engineer: Scalable Finance Data Platforms

Energy Jobline ZR; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

Energy Jobline ZR seeks a Senior Data Engineer to design, develop, and optimize enterprise data pipelines and platforms supporting Finance and Data Intelligence initiatives. The ideal candidate has deep expertise in Snowflake, Databricks, Delta Lake, DLT, Unity Catalog, dbt, and PySpark.

You will build scalable ELT/ETL pipelines, implement real-time processing, ensure data governance and security, and collaborate with architects, product managers, and analysts to deliver reliable data platforms.

Qualifications

• 7+ years of experience with Snowflake and Delta Lake.
• 7+ years of experience with Databricks, Delta Live Tables (DLT), and Unity Catalog.
• 5+ years of experience with dbt and PySpark.
• Strong expertise in SQL, Python, data modeling, and enterprise-scale data pipeline development.
• Experience with ETL/ELT, incremental ingestion, CDC, pipeline optimization, and fault-tolerant processing.
• Knowledge of cloud data platforms, preferably Azure or AWS.
• Experience with data quality, testing, CI/CD, security, and data governance.
• Strong problem-solving, communication, and technical leadership skills.

Responsibilities

• Design and develop scalable ELT/ETL pipelines for finance and revenue data.
• Build batch, incremental, and streaming ingestion pipelines using CDC and event-driven patterns.
• Lead development and optimization of Snowflake and Databricks platforms including DLT and Unity Catalog.
• Develop modular data transformations using dbt and PySpark.
• Implement cloud data platforms using Azure or AWS with IaC and cost optimization.
• Establish data quality, monitoring, and observability standards.
• Implement CI/CD practices and automated deployment workflows.
• Ensure data security, governance, lineage, and compliance.

Skills

SQL

Python

Data modeling

Data pipelines

Tools

Snowflake

Databricks

Delta Lake

Delta Live Tables

Unity Catalog

dbt

PySpark

Airflow

Azure Data Factory

Terraform

Job description

Energy Jobline ZR seeks a Senior Data Engineer to design, develop, and optimize enterprise data pipelines and platforms supporting Finance and Data Intelligence initiatives. The ideal candidate has deep expertise in Snowflake, Databricks, Delta Lake, DLT, Unity Catalog, dbt, and PySpark.

You will build scalable ELT/ETL pipelines, implement real-time processing, ensure data governance and security, and collaborate with architects, product managers, and analysts to deliver reliable data platforms.